{"id":"W2736136218","doi":"10.23977/jeis.2017.21004","title":"Design and Implementation of Software Calibrated Lead-Acid Monitoring System for Electric Motorcycle","year":2017,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lead–acid battery; Battery (electricity); Voltage; Resistor; Software; Automotive engineering; Computer science; Battery pack; Electrical engineering; Embedded system; Engineering; Power (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003979491,0.0007325355,0.0007304379,0.001030704,0.000335847,0.0006836206,0.001929651,0.0005297993,0.004933018],"category_scores_gemma":[0.000811637,0.0003606464,0.0002532298,0.0003989987,0.0001953025,0.0007352852,0.0004600399,0.0003575062,0.001446899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004659196,"about_ca_system_score_gemma":0.0005458364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062162,"about_ca_topic_score_gemma":0.0007007819,"domain_scores_codex":[0.9992602,0.00007412752,0.0000559403,0.0002619931,0.0002843344,0.00006326897],"domain_scores_gemma":[0.9993906,0.00005160312,0.00006751903,0.00006773761,0.0003807014,0.00004168551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001101673,0.0003432543,0.02359342,0.0009877622,0.000225334,0.001398795,0.0008547881,0.01419723,0.4350217,0.005148924,0.02014353,0.4969835],"study_design_scores_gemma":[0.0004665238,0.002867874,0.02741709,0.0002009688,0.0005841199,0.004071393,0.0002876758,0.3408228,0.4957152,0.002227697,0.1249668,0.0003718157],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1628273,0.001003212,0.7817418,0.0006176259,0.0005342775,0.001008097,0.0005668905,0.03469058,0.01701026],"genre_scores_gemma":[0.8779223,0.0002714301,0.1084709,0.0003433155,0.0001263167,0.000525162,0.0004132362,0.0003031766,0.01162423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004933018,"threshold_uncertainty_score":0.01650262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975256269597902,"score_gpt":0.311143865675255,"score_spread":0.291391302979276,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}